کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
400425 1438725 2016 10 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Real time experimental implementation of optimum energy management system in standalone Microgrid by using multi-layer ant colony optimization
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر هوش مصنوعی
پیش نمایش صفحه اول مقاله
Real time experimental implementation of optimum energy management system in standalone Microgrid by using multi-layer ant colony optimization
چکیده انگلیسی


• Some optimization algorithms are developed to enhance Microgrid performance.
• Local energy market cost model is proposed to obtain the cheapest price.
• Several real technical and market scenarios are considered in the study.
• Simulation and experimental results demonstrate a significant reduction in cost.

In this paper, an algorithm for energy management system (EMS) based on multi-layer ant colony optimization (EMS-MACO) is presented to find energy scheduling in Microgrid (MG). The aim of study is to figure out the optimum operation of micro-sources for decreasing the electricity production cost by hourly day-ahead and real time scheduling. The proposed algorithm is based on ant colony optimization (ACO) method and is able to analyze the technical and economic time dependent constraints. This algorithm attempts to meet the required load demand with minimum energy cost in a local energy market (LEM) structure. Performance of MACO is compared with modified conventional EMS (MCEMS) and particle swarm optimization (PSO) based EMS. Analysis of obtained results demonstrates that the system performance is improved also the energy cost is reduced about 20% and 5% by applying MACO in comparison with MCEMS and PSO, respectively. Furthermore, the plug and play capability in real time applications is investigated by using different scenarios and the system adequate performance is validated experimentally too.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: International Journal of Electrical Power & Energy Systems - Volume 75, February 2016, Pages 265–274
نویسندگان
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